Comprehensive effectiveness assessment of renewable energy generation policy: A partial equilibrium analysis in China

Liu, Dunnan; Liu, Mingguang; E, Xu; Pang, Bo; Guo, Xiaodan; Xiao, Bowen; Niu, Dongxiao

doi:10.1016/j.enpol.2018.01.018

Cited by 46 publications

(22 citation statements)

References 31 publications

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“…Let = { } be the universe of discourse and a qualitative concept in . If ( ∈ ) is a random instantiation of concept satisfying ∼ ( , 2 ), ∼ ( , 2 ) and the certainty degree of belonging to concept meets…”

Section: Cloud Modelmentioning

confidence: 99%

“…In recent years, the LSWPPs [1] have become an investment direction that is closely watched by investors and government as well as a focus in the renewable energy field [1]. There are several reasons leading to this situation which mainly focus on the following factors: (1) renewable energy has been a key component in development plans of Chinese government [2]. As the atmospheric contamination has been a severe problem to solve in today's China, developing renewable energy industry is the most resultful approach to alleviate environmental pressure and achieve the commitment made by Chinese government at the Copenhagen Conference [3].…”

Section: Introductionmentioning

confidence: 99%

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Risk Assessment of Low-Speed Wind Power Projects Based on an Aggregated Cloud Method: A Case in China

Wang

et al. 2018

Mathematical Problems in Engineering

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Due to the aggravating wind curtailment phenomenon, low-speed wind power project (LSWPP) with the superiority of its generation being absorbed locally is rapidly developing in China. As the risk and opportunity coexist, a comprehensive risk assessment should be implemented to evaluate the risk level of a LSWPP. This paper firstly identified 38 risk factors based on a questionnaire survey and then sorted out 17 critical risk factors and divided them into 4 criteria to form the evaluation index system. In order to overcome the deficiencies of not considering randomness of linguistic variables and neglecting the interrelationship between factors, we proposed an aggregated method which combined ANP, the cloud theory, and the technique for order preference by similarity to ideal solution (TOPSIS) for LSWPPs risk assessment. After a case in China was studied and the sensitivity was tested, the effectiveness and application of this framework are demonstrated. Through the calculation of membership of each project, it indicated that the overall risk level of LSWPPs is relatively high. Finally, some recommendations of each critical risk factor were given for government, investors, and decision-makers to help them make more appropriate decisions and distribute the limited resources more rationally.

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Section: Cloud Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Low-Speed Wind Power Projects Based on an Aggregated Cloud Method: A Case in China

Wang

et al. 2018

Mathematical Problems in Engineering

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“…Many countries have taken positive measures to increase the installed capacity of renewable energy [4][5][6]. China has also promulgated a number of policies to promote the development of renewable energy [7][8][9]. As of 2018, China's renewable energy installed capacity reached 728GW, accounting for about 32% of the world.…”

Section: Introductionmentioning

confidence: 99%

Optimal Generation Expansion Planning Model of a Combined Thermal-wind-PV Power System Considering Multiple Boundary Conditions: A Case Study in Xinjiang, China

Liu¹,

Dai

Hao

et al. 2020

Preprint

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Background The scarcity of fossil fuels and their high emissions impact on the environment have forced the rapid development of renewable energy. Wind and photovoltaic power play a more and more important role in today's power system because of their clean and renewable characteristics. However, with the large-scale grid connection of wind and photovoltaic power, the contradiction between renewable energy and thermal power is becoming more and more serious. The unreasonable planning of power generation resources has also caused a lot of waste of electric power.Methods To solve this problem, this paper comprehensively considers the construction and operation costs of power plants, and constructs an optimal generation expansion planning model of a combined thermal-wind-PV power system with the objective of minimizing total cost. The planning is calculated under the boundary conditions of ensuring the safe operation of the power grid and taking into account the share requirement, utilization requirements and construction requirements for renewable energy. The model is applied to the self-use and external power plants in Xinjiang.Results The results show that this generation expansion plan can reduce the total cost of the power plants while ensuring the load demand. The renewable energy has also received more consumption share and its abandonment rate has dropped significantly. Numerical examples show that the optimization model has good applicability.Conclusion The proposed optimization model can realize the coordinated development of three types of power sources under multiple boundary conditions, which can not only guarantee the economy of power construction, but also take into account the optimization of environmental benefits. Reasonable generation expansion planning can improve energy efficiency, achieve clean and low carbon in the process of power generation, and promote the sustainable development of society.

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“…Nevertheless, since the investment cost of solar PV power generation is still high, the development of solar PV power generation has been severely constrained by the limitation of government budgets and the investor's affordability in China [5]. In order to broaden the funding source for the solar PV power generation project and accelerate the electricity market-oriented reform in China, some financing modes, such as BOT, securitization, and peer-to peer financing, have been encouraged by the government [6].…”

Section: Introductionmentioning

confidence: 99%

The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China

Chen

2019

Energies

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Since the concession period is one of the most crucial variables influencing the success of a photovoltaic (PV) power project under build-operate-transfer (BOT) mode, this paper presents a real option game model—which integrates the real option and cooperative game theory—to determine the optimal concession period of the BOT solar PV power project under policy incentives by considering the value of the option to defer. In the proposed model, an effective interval of concession period for the BOT project was identified by using a real option, and the equilibrium value of the concession period was obtained by applying classical optimization theory. To evaluate our model, we empirically determined the optimal concession period for the BOT solar PV power project in China, and a sensitivity analysis was conducted to demonstrate how relevant influential factors, which are presented in the model, affect the equilibrium value of the concession period and its effective interval. The results indicate that the current investment environment in China could successfully implement the BOT solar PV power project under policy incentives, including initial cost subsidy and the feed-in tariffs mechanism. While the high volatility of electricity demand, investment cost, and land-use rent fee can lead the failure of the BOT solar PV project implementation, promoting the technological development of PV power generation, maintaining the market stability, and increasing the policy incentives can help the BOT power project to be arranged with an optimal concession period. In addition, the feed-in tariffs mechanism is more helpful than the initial cost subsidy for winning the BOT contract.

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Comprehensive effectiveness assessment of renewable energy generation policy: A partial equilibrium analysis in China

Cited by 46 publications

References 31 publications

Risk Assessment of Low-Speed Wind Power Projects Based on an Aggregated Cloud Method: A Case in China

Risk Assessment of Low-Speed Wind Power Projects Based on an Aggregated Cloud Method: A Case in China

Optimal Generation Expansion Planning Model of a Combined Thermal-wind-PV Power System Considering Multiple Boundary Conditions: A Case Study in Xinjiang, China

The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China

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